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Job request: 1127

Organisation:
The London School of Hygiene & Tropical Medicine
Workspace:
post-covid-research
ID:
ziseoxjiz6mkekzo
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Alex Walker requested one or more actions to be run against real patient data in the project, within a secure environment.

By cross-referencing the list of jobs with the pipeline section below, you can infer what security level various outputs were written to. Researchers can never directly view outputs marked as highly_sensitive ; they can only request that code runs against them. Outputs marked as moderately_sensitive can be viewed by an approved researcher by logging into a highly secure environment. Only outputs marked as moderately_sensitive can be requested for release to the public, via a controlled output review service.

Pipeline

Show project.yaml 
version: "3.0"

expectations:
  population_size: 20000

actions:
  generate_covid_cohort:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_covid
    outputs:
      highly_sensitive:
        cohort: output/input_covid.csv

  generate_covid_community_cohort:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_covid_community
    outputs:
      highly_sensitive:
        cohort: output/input_covid_community.csv

  generate_covid_general_population_cohort:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_general_population
    outputs:
      highly_sensitive:
        cohort: output/input_general_population.csv

  generate_pneumonia_cohort:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_pneumonia
    outputs:
      highly_sensitive:
        cohort: output/input_pneumonia.csv

  matching:
    run: python:latest python analysis/match_running.py
    needs: [generate_covid_cohort, generate_covid_general_population_cohort]
    outputs:
      moderately_sensitive: 
        matching_report: output/matching_report_general_population.txt  
      highly_sensitive: 
        combined: output/matched_combined_general_population.csv

  covid_rates_cohort:
    run: stata-mp:latest analysis/000_cr_define_covariates_simple_rates.do "covid"
    needs: [generate_covid_cohort]
    outputs:
      highly_sensitive:
        analysis_dataset: output/cohort_rates_covid.dta

  covid_community_rates_cohort:
    run: stata-mp:latest analysis/000_cr_define_covariates_simple_rates.do "covid_community"
    needs: [generate_covid_community_cohort]
    outputs:
      highly_sensitive:
        analysis_dataset: output/cohort_rates_covid_community.dta

  pneumonia_rates_cohort:
    run: stata-mp:latest analysis/000_cr_define_covariates_simple_rates.do "pneumonia"
    needs: [generate_pneumonia_cohort]
    outputs:
      highly_sensitive:
        analysis_dataset: output/cohort_rates_pneumonia.dta

  gen_pop_rates_cohort:
    run: stata-mp:latest analysis/000_cr_define_covariates_simple_rates.do "matched_combined_general_population"
    needs: [matching]
    outputs:
      highly_sensitive:
        analysis_dataset: output/cohort_rates_gen_population.dta

  covid_rates:
    run: stata-mp:latest analysis/201_cr_simple_rates.do "covid"
    needs: [covid_rates_cohort]
    outputs:
      moderately_sensitive:
        rates: output/tabfig/rates_summary_covid.csv

  covid_comm_rates:
    run: stata-mp:latest analysis/201_cr_simple_rates.do "covid_community"
    needs: [covid_community_rates_cohort]
    outputs:
      moderately_sensitive:
        rates: output/tabfig/rates_summary_covid_community.csv

  pneumonia_rates:
    run: stata-mp:latest analysis/201_cr_simple_rates.do "pneumonia"
    needs: [pneumonia_rates_cohort]
    outputs:
      moderately_sensitive:
        rates: output/tabfig/rates_summary_pneumonia.csv

  gen_pop_rates:
    run: stata-mp:latest analysis/201_cr_simple_rates.do "gen_population"
    needs: [gen_pop_rates_cohort]
    outputs:
      moderately_sensitive:
        rates: output/tabfig/rates_summary_gen_population.csv

  baseline_characteristics:
    run: stata-mp:latest analysis/400_baseline_characteristics.do
    needs: [covid_rates_cohort, covid_community_rates_cohort, pneumonia_rates_cohort, gen_pop_rates_cohort]
    outputs:
      moderately_sensitive:
        tables: output/tabfig/an_descriptiveTable_*.txt

  append_cohorts:
    run: stata-mp:latest analysis/300_cr_data_management_matching.do
    needs: [covid_rates_cohort, pneumonia_rates_cohort, gen_pop_rates_cohort]
    outputs:
      moderately_sensitive:
        log: output/append_cohorts.txt
      highly_sensitive: 
        dataset: output/combined_covid_pneumonia.dta
        dataset2: output/combined_covid_gen_population.dta

  cox_models:
    run: stata-mp:latest analysis/302_cox_models.do
    needs: [append_cohorts]
    outputs:
      moderately_sensitive:
        log: output/cox_models.txt
        dataset: output/tabfig/cox_model_summary.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime:

These timestamps are generated and stored using the UTC timezone on the TPP backend.

Job information

Status
Failed 
JobRequestError: All requested actions were already scheduled to run
Backend
TPP
Workspace
post-covid-research
Requested by
Alex Walker
Branch
master
Force run dependencies
No
Git commit hash
c7ec5f7
Requested actions
  • matching
  • gen_pop_rates_cohort
  • gen_pop_rates
  • baseline_characteristics
  • append_cohorts
  • cox_models

Code comparison

Compare the code used in this Job Request